How to Build Your Own Talkbot from Scratch Step by Step

Yes, you can build your own talkbot from scratch by following a step-by-step guide—even if you’re new to this. Over 60% of companies now use a customer service chatbot, and e-commerce stores see even higher adoption rates.

You don’t need advanced coding skills. Platforms like Sobot AI offer drag-and-drop tools, so you can launch a functional talkbot in under an hour. This step-by-step guide focuses on real challenges—like mapping conversations and connecting your talkbot to Sobot call center channels—so you get a build your own ai chatbot experience that’s practical for e-commerce or support.

Beginners often face challenges such as designing clear flows, integrating with tools, and refining conversations. You’ll learn solutions as we go.

Define Your Talkbot’s Purpose

Identify Customer Needs

Before you create a chatbot, you need to know who you’re helping and what they want. Start by talking to your support, sales, and marketing teams. They know your customers best. When you identify your target audience, you can focus on the problems they face every day.

Here are the most common needs customers have when chatting with a bot in e-commerce or customer service:

1. 24/7 support so they can get help anytime
2. Instant answers to their questions
3. Personalized product suggestions
4. Updates on orders and tracking
5. Help with simple tasks like returns or order changes
6. Support in different languages
7. Reminders to finish shopping and avoid cart abandonment
8. Quick info on things like return policies
9. A way to talk to a real person for tough questions
10. Easy ways to give feedback
11. Guidance through the buying process
12. Help with starting conversations and collecting leads
13. Upselling and sharing promotions
14. Connecting with other systems, like CRM, for a smooth experience

Tip: Don’t try to make your bot do everything at once. If you give it too many jobs, it might confuse your customers. Focus on the top needs first.

Set Clear Goals

Once you define your chatbot’s purpose, you need to set goals you can measure. This helps you see if your bot is working well. Many businesses use goals like faster response times, higher customer satisfaction, or saving money by letting the bot handle simple questions.

You can use these ideas to set your own goals:

• Cut average response time to under one hour
• Solve 90% of customer complaints within 24 hours
• Let the chatbot handle 30% of basic questions by the end of the quarter
• Increase first-contact resolution by 15%
• Reach a 95% customer satisfaction score
• Lower the cost per customer contact by 8%
• Boost self-service rates by 25% in six months

Sobot makes it easy to track these goals. You get clear reports on how your chatbot is doing, like how many questions it answers and how fast it responds. Sobot also connects with your CRM, which can boost customer satisfaction by up to 35% and cut support costs by 25%. Learn more about Sobot’s chatbot features.

Note: Work with your team to set goals that match your business needs. Make sure everyone knows what the chatbot can and cannot do. Always give customers a way to reach a human if they need extra help.

Choose Your Chatbot Platform

Platform Options

When you want to create a chatbot, the first big step is picking the right chatbot platform. There are many options out there, and each one has its own strengths. Some platforms are made for developers who like to code, while others let you build an ai chatbot with simple drag-and-drop tools. If you run an e-commerce store or need a customer service chatbot, you probably want something easy to use, flexible, and packed with features.

Here’s a quick look at some popular chatbot platforms and what they offer:

Most chatbot platforms now support multiple languages and channels. For example, some can detect a customer’s language and reply in real time, which is great if you have shoppers from around the world. Many platforms also offer ready-made templates, so you can create a chatbot quickly without starting from scratch.

Tip: If you want to create a chatbot for your website, look for a chatbot platform that works with your favorite apps and can grow with your business.

Sobot Chatbot Features

Sobot stands out as a top choice when you want to build an ai chatbot for customer service or e-commerce. You don’t need to know how to code. Sobot’s point-and-click interface lets you create a chatbot in minutes. You can connect your ai chatbot to your website, WhatsApp, SMS, email, and even phone calls—all from one place.

Here’s what makes Sobot special:

• Omnichannel AI: Chat with customers on your website, mobile app, social media, email, and phone. Sobot’s ai chatbot even supports voicebots for calls.
• Multilingual Support: Sobot’s ai chatbot can talk to customers in their language, making global support easy.
• Scenario-Based AI: Sobot’s chatbot platform is built for e-commerce and retail, so you can guide customers from browsing to buying and beyond.
• AI Copilot and Insights: Sobot helps your team with smart suggestions and gives you detailed reports to improve your chatbot.
• Secure and Compliant: Sobot follows strict data privacy rules and has global data centers for safe, fast service.

Sobot’s ai chatbot is trusted by over 10,000 brands, including big names like OPPO and Samsung. You get flexible pricing, no minimum seats, and a free trial to test everything out. If you want to create a chatbot that grows with your business, Sobot is a smart pick.

Set Up for Chatbot Development

Development Environment

Before you start chatbot building, you need to set up the right environment. This step helps you avoid problems later. Think of it as getting your tools ready before you build a treehouse. Here’s what you should decide first:

• Which channels will your chatbot use? You might want it on your website, WhatsApp, Facebook, SMS, Instagram, or email.
• What languages should your chatbot support? Many businesses choose English, but Sobot lets you add more languages easily.
• What systems will your chatbot connect to? For example, you may want to link it with your CRM, payment tools, or calendar.
• What personality will your chatbot have? Decide if it should sound friendly, formal, or match your brand’s voice.
• What goals and metrics will you track? You might want to measure response time, customer satisfaction, or how many questions the bot answers.
• Do you need real-time analytics? Sobot provides dashboards so you can see how your chatbot is doing at any time.
• What technology will you use? Some people pick frameworks, but with Sobot, you can skip coding and use a point-and-click interface.
• Will your chatbot use AI or just simple rules? Sobot supports both, so you can start simple and get smarter over time.
• How many users and customers will interact with your chatbot? This helps you plan for growth.
• Will your chatbot send images, videos, or just text? Rich media can make conversations more engaging.
• What security steps do you need? Sobot follows strict security rules to keep your data safe.
• Where will you host your chatbot? Sobot is cloud-based, so you don’t need to worry about servers.

Tip: Write down these choices before you start chatbot building. It saves time and helps you stay organized.

Project Structure

A good project structure makes chatbot development much easier. You want everything in the right place, so you can find files quickly and make updates without stress. Here’s a simple way to organize your chatbot building project:

• Create a main folder called backend/.
• Inside backend/, add an app/ folder for the core parts:
  • assistants/ for your chatbot’s main logic and prompts.
  • utils/ for helpful scripts, like splitting text or streaming messages.
  • api.py for the code that lets your chatbot talk to other apps.
  • config.py for settings and options.
  • db.py for anything related to your database.
  • export.py for saving chat data.
  • loader.py for loading documents or knowledge bases.
  • main.py as the starting point for your chatbot.
  • openai.py if you use AI features.
• At the root of backend/, keep a pyproject.toml file for your project’s dependencies.

This setup keeps your chatbot development clean and easy to manage. If you use Sobot, you won’t need to worry about most of these folders. Sobot handles the technical side, so you can focus on chatbot building and making great conversations.

Design Conversation Flow

Designing the conversation flow is where your chatbot starts to feel real. You want every conversation to feel smooth, helpful, and even a little bit fun. When you design the conversation flow, you help users get what they need without confusion or frustration.

User Scenarios

Start with user scenarios. These are stories about how people might use your chatbot. Imagine a shopper who wants to track an order, a customer who needs help with a return, or someone who just wants to ask about your store hours. Each scenario should include the user’s goal, their feelings, and the context of their request.

• Think about your main customer types. What do they want? What problems do they face?
• Map out each step of their journey. Where might they get stuck?
• Plan for different emotions. Some users feel happy, others might be frustrated.
• Make sure your chatbot can handle common requests like order tracking, product info, or support questions.
• Always give users a clear next step. If the chatbot can’t help, offer a way to reach a real person.

Tip: Use feedback and real chat data to improve your chatbot conversation flow over time. Sobot makes this easy with built-in analytics and reporting.

Bot Personality

Your chatbot’s personality matters more than you might think. Research shows that chatbots with a clear personality make users feel happier and more connected. When your chatbot sounds friendly, helpful, and matches your brand, people trust it more and enjoy the conversation.

A good bot personality does a few things:

• Builds trust by using a consistent tone and style.
• Makes conversations feel natural, not robotic.
• Shows empathy and warmth, especially when users feel upset.
• Reflects your brand’s values and voice.

Sobot lets you customize your chatbot’s personality to fit your business. You can choose how formal or casual it sounds, add humor, or keep it professional. This helps your chatbot stand out and keeps users coming back.

Remember: A chatbot with a strong personality and clear conversation design can boost user satisfaction and make your brand more memorable.

Build an AI Chatbot

Building an ai chatbot is where your project comes to life. You get to see your chatbot answer real questions, help customers, and even solve problems on its own. If you want to build your own ai chatbot, you need to focus on two big things: integrating natural language processing (NLP) and adding a knowledge base. These steps turn your chatbot from a simple script into a dynamic and intelligent conversational agent.

Integrate NLP

Natural language processing is the secret sauce that makes an ai chatbot smart. It helps your chatbot understand what people say, no matter how they type or speak. When you use NLP, your chatbot can figure out what a customer wants, even if they use slang, make typos, or ask questions in different ways.

NLP is a branch of AI that lets computers understand, interpret, and generate human language. You see NLP in action every day—think about voice assistants, search engines, or even autocorrect on your phone. In chatbots, NLP does a lot more than just match keywords. It helps your ai chatbot pick up on emotions, spot the intent behind a message, and respond in a way that feels natural.

Here’s how NLP works inside a chatbot:

1. The chatbot takes the user’s message and cleans it up (removes extra spaces, fixes spelling).
2. It breaks the message into pieces (this is called tokenizing).
3. The ai chatbot figures out what the user wants (intent classification).
4. It looks for important details, like names or order numbers (entity recognition).
5. The chatbot uses this information to pick the best response.

When you build an ai chatbot with Sobot, you don’t need to write code for NLP. Sobot’s point-and-click interface lets you set up workflows that use advanced NLP right out of the box. You can drag and drop blocks to create conversation paths, set up triggers, and even add sentiment analysis. Sobot uses large language models (LLMs) to make your chatbot smarter. These LLMs help your chatbot understand context, so it can keep up with longer conversations and remember what the user said earlier.

Did you know? Sobot’s ai chatbot can detect customer frustration and switch to a human agent if needed. This keeps your customers happy and your support team efficient.

NLP also helps your chatbot handle multiple languages. Sobot supports multilingual chatbots, so you can talk to customers around the world. You don’t have to worry about translating every message yourself. The ai chatbot does it for you, using NLP and LLMs to keep the conversation smooth.

If you want to build chatbots that feel human, integrating NLP is a must. It’s what turns a basic chatbot into a dynamic and intelligent conversational agent. You’ll see your chatbot answer questions, solve problems, and even make product suggestions—all in real time.

Add Knowledge Base

A great ai chatbot needs a brain. That’s where the knowledge base comes in. The knowledge base is a collection of answers, product details, FAQs, and company policies. When you add a knowledge base to your chatbot, you give it the power to answer questions quickly and accurately.

Here’s how you can add a knowledge base to your ai chatbot:

1. Gather all your important info—FAQs, product guides, return policies, and support scripts.
2. Organize this information into clear categories. Make sure it’s easy to search and update.
3. Use NLP to help your chatbot understand different ways people might ask the same question.
4. Connect your knowledge base to your business systems, like your CRM or e-commerce platform. This lets your chatbot give real-time answers about orders, accounts, or inventory.
5. Set up feedback loops. Let your chatbot learn from real conversations and improve its answers over time.
6. Support different types of content—text, images, videos, and even PDFs. This makes your chatbot more helpful.
7. Test your chatbot often. Run different questions, check the answers, and make updates to keep your chatbot accurate.

Sobot makes this process simple. You can upload documents, paste text, or connect to your website. Sobot’s ai chatbot uses NLP and LLMs to read your knowledge base and find the best answer for each question. If a customer asks about a product, the chatbot can pull up specs, show images, or even link to a video. If someone wants to know their order status, the chatbot checks your CRM and gives a real-time update.

Tip: Sobot’s ai chatbot learns from every conversation. It gets better at answering questions the more it chats with your customers. You can see which answers work best and update your knowledge base with just a few clicks.

Adding a knowledge base also helps your chatbot handle more complex questions. If the chatbot doesn’t know the answer, it can offer to connect the customer with a human agent. This keeps the conversation moving and makes sure your customers always get the help they need.

When you build an ai chatbot with Sobot, you get powerful reporting tools. You can track which questions come up most, see how fast your chatbot responds, and find out where customers get stuck. This data helps you improve your chatbot and your business.

Note: Sobot’s ai chatbot supports omnichannel deployment. You can use the same knowledge base across your website, WhatsApp, SMS, and more. This keeps your customer experience consistent, no matter where the conversation starts.

Why NLP and Knowledge Base Matter

When you combine natural language processing with a strong knowledge base, you create an ai chatbot that feels truly helpful. Your chatbot understands the context of each conversation, remembers what customers said before, and gives answers that make sense. LLMs help your chatbot keep up with long chats, switch topics smoothly, and even handle jokes or small talk.

A chatbot with NLP and a knowledge base can:

• Answer questions 24/7, even during busy times.
• Personalize responses using customer data.
• Handle multiple languages and channels.
• Learn from every conversation and get smarter over time.
• Boost customer satisfaction and save your team hours every week.

Sobot’s ai chatbot brings all these features together. You don’t need to be a tech expert to build your own ai chatbot. With Sobot’s point-and-click tools, you can set up NLP, connect your knowledge base, and launch your chatbot in less than an hour. You’ll see your chatbot handle real conversations, solve problems, and help your business grow.

Ready to build an ai chatbot that delights your customers? Start with Sobot and see how easy it can be to create a chatbot that works for you.

Train and Test Your Chatbot

Training your chatbot is like teaching a new team member. You want it to answer questions the right way, every time. Before you go live, you need to make sure your chatbot understands your customers and gives helpful answers. This is where collecting training data and testing and debugging come in.

Sample Data

You need the right training data to help your chatbot learn. The best sample data comes from your own business. This includes:

• Real user input from chat logs or customer service tickets
• Customer service logs that show how people ask for help
• Emails with questions and feedback
• Social media messages from platforms like Facebook or Twitter
• Transcriptions from voice calls, which help if your chatbot works on the phone

You can also use FAQs, product details, and helpdesk logs. These types of training data make your chatbot smarter and more accurate. When you use your own data, your chatbot sounds more like your brand and less like a robot. Always remember to clean and anonymize your data before using it. This keeps customer information safe and helps your chatbot avoid mistakes.

Tip: Sobot makes collecting training data easy. You can upload documents, connect to your website, or pull in chat logs. This helps your chatbot learn from real conversations and get better over time.

Debugging

Once your chatbot has learned from your training data, it’s time for testing and debugging. This step helps you catch mistakes before your customers do. Here’s how you can make debugging simple:

1. Watch chatbot logs to see how it answers real questions.
2. Look for messages it doesn’t understand or gets wrong.
3. Change your training data or chatbot settings to fix these problems.
4. Ask for feedback from users and use it to improve your chatbot.

You can also use tools to track errors, check user input, and test different parts of your chatbot. Sobot gives you clear reports and logs, so you can spot issues fast. If your chatbot ever gets stuck, you can update it right away. Testing and debugging are ongoing jobs. The more you check, the better your chatbot will get.

Remember: A well-trained chatbot with strong debugging will save your team hours and make your customers happier.

Deploying Your Chatbot

So, you’ve trained and tested your chatbot. Now comes the exciting part—deploying your chatbot so real customers can start chatting! This stage is where all your planning pays off. You’ll connect your chatbot to the channels your customers use, make sure everything works smoothly, and launch with confidence. Let’s break down how you can do this step by step.

Channel Integration

When you think about deploying your chatbot, you want it to meet your customers where they are. People use websites, apps, WhatsApp, SMS, and social media every day. If your chatbot only lives on your website, you miss out on a lot of conversations. That’s why channel integration is so important.

Why Omnichannel Matters

Imagine a customer starts a chat on your website, then follows up on WhatsApp, and later checks order status by SMS. They expect a smooth experience, no matter which channel they use. Omnichannel deployment means your chatbot can talk to customers across all these platforms, keeping the conversation going without missing a beat.

Sobot makes this easy. You can connect your chatbot to:

• Your website or online store
• Mobile apps
• WhatsApp (with official WhatsApp Business API)
• SMS and text messaging
• Social media like Facebook Messenger
• Email
• Even phone calls with voicebot features

This unified approach means you manage all conversations in one place. No more jumping between tools or losing track of customer questions. Sobot’s centralized workspace lets your team see every message, reply faster, and deliver a consistent brand voice.

Steps for Channel Integration

Here’s a simple roadmap for deploying your chatbot across multiple channels:

1. Organize Your Training Data
   Make sure your chatbot’s knowledge base is up to date. Group FAQs, product info, and support scripts by topic. Update them regularly so your chatbot always gives accurate answers.

2. Design Conversation Flows for Each Channel
   Think about how people use each platform. On WhatsApp, customers might send quick questions. On your website, they may want detailed help. Adjust your chatbot’s responses to fit each channel’s style.

3. Pick a Platform That Supports Omnichannel Deployment
   Sobot lets you set up your chatbot on web, app, WhatsApp, SMS, and more—all without coding. You can drag and drop to build workflows, then publish them everywhere at once.

4. Integrate with Your Business Tools
   Connect your chatbot to your CRM, order system, or helpdesk. This way, your chatbot can give real-time updates, check order status, or even create support tickets automatically.

5. Prioritize High-Traffic Channels
   Start with the channels your customers use most. For many businesses, that’s the website and WhatsApp. Add more channels as you grow.

6. Keep Your Brand Voice Consistent
   Make sure your chatbot sounds like your brand everywhere. Use the same greetings, tone, and style, but tweak responses for each platform’s limits (like SMS character counts).

7. Set Up Escalation Paths
   Sometimes, your chatbot won’t have the answer. Plan for this by letting customers connect with a human agent. Sobot makes it easy to transfer chats, keeping the conversation history intact.

8. Test on Every Channel
   Try out your chatbot on each platform. Look for issues like broken links, missing images, or confusing replies. Fix these before you go live.

9. Monitor and Optimize
   After deploying your chatbot, keep an eye on performance. Use Sobot’s analytics to see which channels get the most traffic, where customers drop off, and what questions come up most.

Pro Tip: Sobot’s WhatsApp API lets you send business messages, bulk notifications, and even one-time passwords (OTP). You also get the green checkmark for verified business accounts, which builds trust with your customers.

Real-World Example

Let’s say you run an online electronics store. A customer visits your website and asks about a new phone. Later, they message you on WhatsApp to check their order status. Your chatbot, powered by Sobot, recognizes the customer, remembers the conversation, and gives a quick update—no matter which channel they use. This seamless experience keeps customers happy and coming back.

Table: Sobot Omnichannel Integration Features

Note: Sobot’s unified workspace means your team can see and reply to all messages from one dashboard. This saves time and reduces mistakes.

Go Live

You’ve set up your channels and tested your chatbot. Now it’s time to go live! This is the moment your chatbot starts helping real customers. But before you flip the switch, there are a few things you should check to make sure your deployment goes smoothly.

Security and Compliance

When deploying your chatbot, you need to protect your customers’ data. People trust you with their information, so you must keep it safe. Sobot takes security and compliance seriously, following global standards to protect your business and your users.

Here’s what you should know:

• Data Encryption
  Sobot encrypts all customer data, both when it’s stored and when it’s sent. This means hackers can’t read the information, even if they intercept it.

• Privacy Laws
  Sobot helps you follow privacy rules like GDPR (Europe), CCPA (California), and other local laws. You must get clear consent before collecting data, tell users how you use their info, and let them delete or correct it if they want.

• Industry Regulations
  If you work in healthcare, finance, or retail, you may need to follow extra rules like HIPAA, PCI DSS, or SOX. Sobot supports these requirements with features like audit logs, access controls, and regular security updates.

• Accessibility
  Your chatbot should work for everyone, including people with disabilities. Sobot meets WCAG standards, making your chatbot easy to use for all customers.

• Transparency
  Always let users know when they’re chatting with a bot. Most people appreciate honesty—90% say they want to know if they’re talking to a chatbot.

• Ethical Design
  Sobot’s AI is designed to avoid bias and treat all users fairly. This builds trust and helps your brand reputation.

• Regular Audits
  Sobot runs security checks and audits every six months. This reduces the risk of data breaches and keeps your chatbot up to date with the latest safety standards.

Did you know? 82% of users prefer brands that put data security first. Regular audits and clear privacy policies can boost customer trust and loyalty.

Scalability and Performance

As your business grows, your chatbot needs to keep up. Sobot’s cloud-based platform scales automatically, so you never have to worry about slowdowns during busy times. Whether you have 100 chats a day or 10,000, your chatbot stays fast and reliable.

• 99.99% Uptime
  Sobot’s system stays online almost all the time. You don’t have to worry about outages or missed messages.

• Global Data Centers
  Sobot hosts your chatbot close to your customers, so messages travel quickly and securely.

• Real-Time Analytics
  You can watch your chatbot’s performance live. See how many chats you get, how fast your team replies, and where you can improve.

Launch Checklist

Before deploying your chatbot, run through this checklist:

• [ ] All channels connected and tested
• [ ] Knowledge base updated and accurate
• [ ] Security settings reviewed and enabled
• [ ] Privacy policy shared with users
• [ ] Escalation paths set for complex issues
• [ ] Team trained on using the chatbot dashboard
• [ ] Analytics and reporting tools set up

Once you check everything off, you’re ready to go live! Announce your new chatbot to your customers. Add a welcome message on your website, send a WhatsApp broadcast, or post on social media. Let people know they can get help 24/7, in their language, on their favorite channel.

After You Go Live

Your job isn’t done after deploying your chatbot. Keep watching how it performs. Use Sobot’s analytics to spot trends, fix problems, and update your chatbot as your business changes. Ask customers for feedback and use it to make your chatbot even better.

Remember: Continuous improvement is key. The best chatbots learn and grow with your business.

Why Sobot Makes Deployment Easy

Sobot gives you everything you need for smooth chatbot deployment:

• No coding required—just drag, drop, and launch
• Omnichannel support for web, WhatsApp, SMS, and more
• Built-in security and compliance features
• Real-time analytics and easy optimization
• Scalable cloud platform for any business size

With Sobot, deploying your chatbot is simple, safe, and scalable. You can focus on helping your customers, while Sobot handles the tech.

Ready to see your chatbot in action? Deploying your chatbot with Sobot means you reach more customers, keep their data safe, and grow your business with confidence.

Monitor and Improve

Performance Metrics

Once your chatbot goes live, you need to know how well it helps your customers. You can track this by looking at key performance metrics. These numbers show you what works and what needs fixing. Here are some of the most important metrics you should watch:

You can use Sobot’s built-in analytics to track these metrics. Sobot shows you real-time data, so you always know how your chatbot is doing. If you see a drop in CSAT or a rise in error rate, you can act fast.

Tip: Combine numbers with user comments. Sometimes, a single comment tells you more than a chart.

Continuous Optimization

Your chatbot is never “done.” You need to keep improving it to match what your customers want. Here are some ways you can make your chatbot better every day:

1. Test your chatbot often. Try new questions and see how it responds. Fix any mistakes you find.
2. Watch real conversations. Look for places where users get stuck or leave early.
3. Collect feedback. Ask users what they liked or didn’t like after each conversation.
4. Update your training data. Add new questions, products, or answers as your business grows.
5. Run A/B tests. Show different versions of a conversation to see which one works best.
6. Use Sobot’s analytics. Spot trends, like when people use your chatbot most or which questions come up again and again.
7. Make sure your chatbot can hand off tough questions to a real person. This keeps your service friendly and helpful.
8. Keep your chatbot’s tone and style the same across all channels. This builds trust with your users.
9. Support more languages as your customer base grows. Sobot makes it easy to add new languages.
10. Check your chatbot’s security and privacy settings. Protect your users’ data at all times.

Remember: The best chatbots learn and grow. Regular updates and feedback help you keep every conversation smooth and helpful.

Real-World Success

Customer Story: OPPO

Let’s look at how OPPO, a global leader in smart devices, transformed its customer service using Sobot’s AI chatbot. You might wonder how a company with millions of users keeps everyone happy. OPPO faced a big challenge: tons of customer questions during busy shopping seasons. They needed a way to answer quickly, in many languages, and on every channel—website, social media, and messaging apps.

OPPO chose Sobot’s AI chatbot to handle this. The chatbot used real-time AI to understand what customers wanted, even if they switched from WhatsApp to email or social media. Sobot’s chatbot didn’t just answer basic questions. It learned from every chat, remembered past conversations, and gave personalized help. OPPO’s team could focus on tough problems while the chatbot took care of the rest.

Sobot’s AI chatbot gave OPPO the power to deliver 24/7 support in over 50 languages. Customers got instant answers, and the chatbot could even spot when someone felt frustrated and offer to connect them with a real person.

Key Outcomes

OPPO’s results show what a smart chatbot can do for your business. Here’s what happened after they started using Sobot’s AI chatbot:

• Over 62% of customer issues got solved without a human agent.
• The chatbot worked around the clock, so customers never had to wait.
• OPPO saw a 25% drop in customer churn—more people stayed loyal.
• More than 90% of customers said they had a positive experience.
• Personalized support led to higher satisfaction and more repeat buyers.

Here’s a quick look at how chatbots help other companies, too:

You can see how a chatbot like Sobot’s can boost efficiency, cut costs, and make customers smile. If you want to build your own AI chatbot, OPPO’s story proves it’s possible—and powerful.

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You’ve seen how easy it is to build your own talkbot with this step-by-step guide. Sobot Chatbot gives you 24/7 support, omnichannel integration, and AI that boosts sales by up to 30%. Customers expect fast answers—82% want immediate replies, and 40% even prefer chatbots over humans. Ready to take the next step?

• Give your talkbot a friendly name and avatar.
• Personalize conversations with simple, engaging messages.
• Keep improving by testing and updating your talkbot often.

Start building your talkbot today with Sobot and watch your customer satisfaction soar!

FAQ

How long does it take to build your own AI chatbot with Sobot?

You can build your own AI chatbot with Sobot in less than an hour. The point-and-click interface makes chatbot building fast and easy. Many users launch their first chatbot the same day they start.

Do I need coding skills to create a chatbot on Sobot?

No coding needed! Sobot lets you create a chatbot using simple drag-and-drop tools. You just pick blocks, set up flows, and publish. Anyone can start chatbot building, even if you have zero programming experience.

Can I use Sobot to deploy my chatbot on WhatsApp and other channels?

Yes, you can deploy your chatbot on WhatsApp, SMS, web, and more. Sobot supports omnichannel integration. Your customers can chat with your AI chatbot wherever they feel comfortable.

Fun Fact: Over 2 billion people use WhatsApp every month. You reach more customers when you build your own AI chatbot for multiple channels. Source

How does Sobot help improve customer satisfaction?

Sobot’s AI chatbot answers questions 24/7, gives instant replies, and supports many languages. You can track customer satisfaction with built-in reports. OPPO saw a 94% positive feedback rate after using Sobot’s chatbot. That’s real proof that chatbot building works!

What kind of data can I use to train my chatbot?

You can use FAQs, product info, chat logs, and even PDFs. Sobot lets you upload documents or connect to your website. The more real data you use, the smarter your chatbot becomes. This helps you build your own AI chatbot that truly understands your customers.

See Also

Simple Steps To Deploy Chatbot Examples On Websites

Effortless Ways To Build A Chatbot For Websites

Quick Guide To Integrate A Chatbot Into Websites

Step-By-Step Method To Install Chatbots On Websites

How To Select The Top Software For Chatbots